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05/11/2023
Bayesian sensitivity analysis for a missing data model
In causal inference, sensitivity analysis is important to assess the rob...
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04/06/2021
Semi-supervised empirical Bayes group-regularized factor regression
The features in high dimensional biomedical prediction problems are ofte...
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01/29/2019
Incorporating prior information and borrowing information in high-dimensional sparse regression using the horseshoe and variational Bayes
We introduce a sparse high-dimensional regression approach that can inco...
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05/01/2018
Adaptive group-regularized logistic elastic net regression
In high-dimensional data settings, additional information on the feature...
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11/18/2017
